AI Engineer (Platform Engineering Background)

Job Title: AI Engineer (Platform Engineering Background) Contract : 6 -9 Months (with Possible extension) Location: Canary Wharf, UK Hybrid (2 days a week) Role Overview We are looking for a hands-on AI Tools Support Engineer with a strong Platform Engineering/DevOps background to support the setup, configuration, integration, administration, and adoption of modern AI-assisted development tools. This is a short-term, high-impact engagement focused on enabling engineering teams to effectively use AI-powered coding and security platforms. The ideal candidate will have experience working with developer platforms, cloud environments, CI/CD pipelines, GitHub ecosystem tools, and AI-assisted software development solutions. Key Responsibilities * Configure, deploy, and support AI developer productivity tools such as: * Cursor * Claude Code * OpenAI Codex / CodeX * Manage onboarding, access provisioning, licensing, and user administration for AI tools. * Integrate AI tools with development environments, source control systems, and enterprise platforms. * Collaborate with Platform Engineering, Security, and Development teams to ensure smooth adoption. * Troubleshoot tool-related issues and provide L1/L2 technical support. * Create and maintain technical documentation, setup guides, SOPs, and knowledge base articles. * Assist in defining governance, security controls, and best practices for AI tool usage. * Support CI/CD and DevOps integrations involving AI-enabled development workflows. * Conduct user enablement sessions, demonstrations, and training for engineering teams. * Monitor usage, collect feedback, and recommend improvements to maximize productivity. Required Skills \& Experience * 6+ years of experience in Platform Engineering, DevOps, Developer Platforms, or Infrastructure Engineering . Hands-on experience with one or more of the following: * Cursor * Claude Code * OpenAI Codex / AI-assisted coding platforms Strong understanding of: * Git and GitHub Enterprise * CI/CD pipelines * Software Development Lifecycle (SDLC) * Platform Engineering concepts * Experience with cloud platforms such as AWS, Azure, or GCP. * Knowledge of scripting/automation using Python, Bash, or PowerShell. * Familiarity with identity management, access controls, and enterprise tool integration. * Strong troubleshooting and documentation skills. Preferred Qualifications * Experience supporting developer productivity platforms at scale. * Exposure to security and compliance requirements related to AI tools. * Understanding of prompt engineering and AI-assisted software development workflows. * Experience working with enterprise engineering organizations.